/** * Copyright (C) 2001-2017 by RapidMiner and the contributors * * Complete list of developers available at our web site: * * http://rapidminer.com * * This program is free software: you can redistribute it and/or modify it under the terms of the * GNU Affero General Public License as published by the Free Software Foundation, either version 3 * of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without * even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License along with this program. * If not, see http://www.gnu.org/licenses/. */ package com.rapidminer.operator.preprocessing.sampling; import com.rapidminer.example.ExampleSet; import com.rapidminer.operator.OperatorDescription; import com.rapidminer.operator.OperatorException; import com.rapidminer.operator.ProcessSetupError.Severity; import com.rapidminer.operator.ports.metadata.ExampleSetMetaData; import com.rapidminer.operator.ports.metadata.MDInteger; import com.rapidminer.operator.ports.metadata.MetaDataInfo; import com.rapidminer.operator.ports.metadata.SimpleMetaDataError; import com.rapidminer.operator.ports.quickfix.ParameterSettingQuickFix; import com.rapidminer.parameter.ParameterType; import com.rapidminer.parameter.ParameterTypeInt; import com.rapidminer.parameter.UndefinedParameterError; import com.rapidminer.tools.RandomGenerator; import java.util.Collections; import java.util.List; /** * Absolute sampling operator. This operator takes a random sample with the given size. For example, * if the sample size is set to 50, the result will have exactly 50 examples randomly drawn from the * complete data set. Please note that this operator does not sample during a data scan but jumps to * the rows. It should therefore only be used in case of memory data management and not, for * example, for database or file management. * * @author Ingo Mierswa */ public class AbsoluteSampling extends AbstractSamplingOperator { /** The parameter name for "The number of examples which should be sampled" */ public static final String PARAMETER_SAMPLE_SIZE = "sample_size"; public AbsoluteSampling(OperatorDescription description) { super(description); } @Override protected MDInteger getSampledSize(ExampleSetMetaData emd) throws UndefinedParameterError { int absoluteNumber = getParameterAsInt(PARAMETER_SAMPLE_SIZE); if (emd.getNumberOfExamples().isAtLeast(absoluteNumber) == MetaDataInfo.NO) { getExampleSetInputPort().addError( new SimpleMetaDataError(Severity.ERROR, getExampleSetInputPort(), Collections .singletonList(new ParameterSettingQuickFix(this, PARAMETER_SAMPLE_SIZE, emd .getNumberOfExamples().getValue().toString())), "exampleset.need_more_examples", absoluteNumber + "")); } return new MDInteger(absoluteNumber); } @Override public ExampleSet apply(ExampleSet exampleSet) throws OperatorException { return exampleSet; } @Override public List<ParameterType> getParameterTypes() { List<ParameterType> types = super.getParameterTypes(); ParameterType type = new ParameterTypeInt(PARAMETER_SAMPLE_SIZE, "The number of examples which should be sampled", 1, Integer.MAX_VALUE, 100); type.setExpert(false); types.add(type); types.addAll(RandomGenerator.getRandomGeneratorParameters(this)); return types; } }